Revisions to Add Biomedical Big Data Training to Active Institutional Training Grants (T32)

Post Date

April 22nd 2014

Application Due Date

July 28th 2016

Funding Opportunity Number

RFA-HG-14-005

CFDA Number(s)

93.113
93.121
93.172
93.173
93.213
93.233
93.242
93.273
93.279
93.286
93.307
93.310
93.361
93.398
93.837
93.838
93.839
93.846
93.847
93.853
93.855
93.856
93.865
93.866
93.867

Funding Instrument Type(s)

Grant

Funding Activity Categories

Education
Environment
Food and Nutrition
Health
Income Security and Social Services

Number of Awards

3

Eligibility Categories

Public and State Controlled Institutions of Higher Education
Federally Recognized Native American Tribal Governments
Non-Federally Recognized Native American Tribal Organizations
Private Institutions of Higher Education
Other

Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Tribally Controlled Colleges and Universities (TCCUs) ; Only institutions with currently active T32 institutional training grants are eligible to apply for revisions (competitive supplements) for the expressed purpose of training the next generation of scientists who will develop computational and quantitative approaches and tools needed by the biomedical research community to work with biomedical Big Data in the biomedical sciences. The sponsoring institution must assure support for the proposed program. Appropriate institutional commitment to the program includes the provision of adequate staff, facilities, and educational resources that can contribute to the planned program. The applicant institution(s) must have a strong and high quality research program in biomedical Big Data Science that includes diverse and complex data types, such as genomic, other -omic, imaging, phenotypic, exposure, etc., both in the basic and clinical sciences. The applicant institution(s) must have the requisite faculty and facilities to conduct the proposed institutional program. In many cases, it is anticipated that the proposed program will complement, but be distinct from, other ongoing research training programs occurring at the applicant institution. It is expected that a substantial number of program faculty will have active biomedical Big Data Science research projects involving a variety of data types in the basic and clinical sciences in which participating trainees may gain relevant experiences consistent with their research interests and goals.

Funding

• Estimated Total Funding:

  $6000000

• Award Range:

  $None - $None

Grant Description

The purpose of this Funding Opportunity Announcement (FOA) is to solicit revisions (competitive supplements) to add a Big Data Science track to currently funded T32 institutional training grants for the expressed purpose of training the next generation of scientists who will develop computational and quantitative approaches and tools needed by the biomedical research community to work with biomedical Big Data in the biomedical sciences (see definition under Funding Opportunity Description). This proposed training initiative should prepare qualified individuals for careers in developing new technologies and methods that will allow biomedical researchers to maximize the value of the growing volume and complexity of biomedical data.

Contact Information

• Agency

  Department of Health and Human Services

• Office:

  National Institutes of Health

• Agency Contact:

  NIH OER Webmaster
  FBOWebmaster@OD.NIH.GOV
  

• Agency Mailing Address:

  If you have any problems linking to this funding announcement, please contact the NIH OER Webmaster

• Agency Email Address:

  FBOWebmaster@OD.NIH.GOV

• More Information:

  http://grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-005.html